Baidu (BIDU) Operating Expenses (2009 - 2026)
Baidu (BIDU) posted Operating Expenses of $4.2 billion for Q2 2026, little changed on a QoQ basis from $4.2 billion in Q1 2026, and up 1.48% year-over-year from $4.1 billion in Q2 2025.
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Analysis
Baidu (BIDU) Operating Expenses (2009 - 2026) Analysis & Trends
Baidu has reported Operating Expenses for 18 years, with the latest figure at $4.2 billion in Q2 2026.
- On a quarterly basis, Operating Expenses rose 1.48% year-over-year to $4.2 billion in Q2 2026; TTM through Jun 2026 was $19.3 billion, a 20.52% increase from a year earlier, with the FY2025 full-year figure at $19.3 billion, up 25.89% from the prior year.
- Operating Expenses was $4.2 billion for Q2 2026 at Baidu, roughly flat from $4.2 billion in the prior quarter.
- The five-year high for Operating Expenses was $6.5 billion in Q3 2025, with the low at $3.6 billion in Q1 2024.
- Average Operating Expenses over 5 years is $4.1 billion, with a median of $4.0 billion recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Operating Expenses retreated 16.73% in 2022, then jumped 65.03% in 2025.
- Over 5 years, Operating Expenses stood at $4.1 billion in 2022, then grew by 0.82% to $4.2 billion in 2023, then retreated by 0.62% to $4.1 billion in 2024, then increased by 8.02% to $4.5 billion in 2025, then dropped by 6.69% to $4.2 billion in 2026.
- The last three Operating Expenses figures came in at $4.2 billion (Q2 2026), $4.2 billion (Q1 2026), and $4.5 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 541.37 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 534.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 4.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.17 Bn |
| Mar 31, 2026 | 4.19 Bn |
| Dec 31, 2025 | 4.47 Bn |
| Sep 30, 2025 | 6.50 Bn |
| Jun 30, 2025 | 4.11 Bn |
| Mar 31, 2025 | 3.85 Bn |
| Dec 31, 2024 | 4.14 Bn |
| Sep 30, 2024 | 3.94 Bn |
| Jun 30, 2024 | 3.85 Bn |
| Mar 31, 2024 | 3.61 Bn |
| Dec 31, 2023 | 4.16 Bn |
| Sep 30, 2023 | 3.86 Bn |
| Jun 30, 2023 | 3.98 Bn |
| Mar 31, 2023 | 3.81 Bn |
| Dec 31, 2022 | 4.13 Bn |
| Sep 30, 2022 | 3.83 Bn |
| Jun 30, 2022 | 3.92 Bn |
| Mar 31, 2022 | 4.07 Bn |
| Dec 31, 2021 | 4.89 Bn |
| Sep 30, 2021 | 4.60 Bn |
API Access
Baidu Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BIDU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BIDU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();